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Senior AI / ML Architect

  • Source: Naukri
  • Criticalriver
  • $36,164.5 to $56,829.93 /yr
  • Hybrid
  • Hyderabad
  • Full-Time
  • Senior

Job Description

Greetings from CriticalRiver Technologies!

Role: Senior AI / ML Architect

Experience: 10+ Years
Location: Hyderabad (Hybrid)
Notice Period: Immediate to 30 Days Preferred

Hurry up - Interested candidate, please share your updated soft copy of resume to [email protected]

Job Criteria: Mandatory Skills (Non-Negotiable)

LLM Training & Fine-Tuning

  • Strong hands-on experience with PyTorch and Hugging Face Transformers
  • Proven experience in training and fine-tuning Large Language Models (LLMs) using domain-specific datasets
  • Strong expertise in LoRA and QLoRA
  • Experience with PEFT, SFT, TRL, Accelerate frameworks
  • Hands-on experience with open-source models such as Llama, Qwen, Mistral/Mixtral, Gemma, DeepSeek, or Phi
  • Strong understanding of model training, hyperparameter tuning, GPU utilization, model evaluation, and optimization

Cloud Deployment & Model Serving

  • Experience deploying and hosting AI/ML models on AWS, Azure, or GCP
  • Hands-on experience with Docker and Kubernetes
  • Experience working with GPU-based infrastructure
  • Experience with model serving frameworks such as vLLM, SGLang, TensorRT-LLM, or TGI
  • Ability to design and manage scalable production-grade AI platforms

MLOps & Model Lifecycle Management

  • Strong experience implementing end-to-end MLOps pipelines
  • Hands-on experience with MLflow, W&B, CI/CD, Model Registry, Version Control
  • Experience in automated training, deployment, monitoring, retraining, and rollback strategies
  • Strong understanding of production model monitoring and governance

Good to Have

  • Python & SQL
  • Spark / Databricks
  • LLM Evaluation & LLM-as-Judge
  • RAG, Vector Databases, Agentic AI, MCP
  • Quantization (GPTQ, AWQ, FP8, BitsAndBytes)
  • GPU performance and cost optimization
  • Multimodal AI Models

Skills

  • PyTorch
  • hugging-face
  • Transformers
  • meta-llama
  • llama
  • gemma
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • Docker
  • Kubernetes
  • vllm1
  • sglang
  • ml-flow
  • mlflow
  • Python
  • azure-databricks
  • Spark
  • databricks

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